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Found 19 Skills
Extract useful frames from local video files based on task intent, such as persona research, shot breakdown, product visibility, UI walkthroughs, visual-style review, or CTA/compliance checks. Use this when the goal is not generic video analysis, but selecting the right still frames and contact sheets for a specific downstream need.
GPU-accelerated frame extraction for Movie_F dashcam videos. This skill should be used when the user needs to extract frames from Movie_F category dashcam videos placed in the Desktop CARDV folder. Extracts 3 frames per video (BEGIN, MIDDLE, END) using NVIDIA CUDA acceleration with automatic gap analysis, parallel processing, and strict error handling. This is specifically designed for Movie_F category only.
Download and analyze social videos using frames + transcript for AI agent understanding at 50× lower cost than multimodal APIs
Search GIF providers with CLI/TUI, download results, and extract stills/sheets.
Understand video content locally using ffmpeg frame extraction and Whisper transcription. No API keys needed. Use when: (1) Understanding what a video contains, (2) Transcribing video audio locally, (3) Extracting key frames for visual analysis, (4) Getting video content without API keys.
Automatically analyze Bilibili video content, download videos and split them into frame images, use AI to analyze and generate detailed thematic documents or practical tutorials.
Read, watch, and listen to video/audio files. Extract key frames to "see" videos, extract audio to "hear" them via Whisper transcription. Use when a user sends a video/audio and asks about its content, what's in it, what someone said, etc.
Extract frames from videos at specific timestamps or intervals, find best frames, and generate thumbnail grids for previews.
Analyze animated GIF files by extracting and viewing frames as sequential video. Use when: - User mentions a GIF file path (e.g., "./demo.gif", "~/Downloads/animation.gif") - User wants to analyze or understand a GIF animation - User asks about motion, changes, or content in a GIF - User attaches or references a .gif file for analysis - User wants to examine a screen recording in GIF format - User invokes /gif slash command Keywords: "GIF", ".gif", "animation", "animated", "frames", "screen recording", "analyze gif", "gif analysis", "view gif", "gif content", "gif motion" Trigger patterns: - Natural language: "Analyze this GIF: ./demo.gif" - Slash command: `/gif <path>` or `/gif <path> <message>` When triggered, extract frames using the Python script, view frames in order, and interpret as continuous video sequence.
This skill should be used when analyzing video files. Claude cannot process video directly, so this skill extracts frames hierarchically - starting with a quick overview, then zooming into regions of interest with higher resolution and temporal density. Use when asked to watch, analyze, review, or understand video content.
Extracts frames at regular intervals from dashcam videos to create compact visual summaries of vehicle movement and location changes. This skill should be used when users need motion trajectory analysis, want to optimize dashcam storage by 90%+, need quick visual review of hours of footage, or want to create visual timelines of trips.
Extract frames or short clips from videos using ffmpeg.